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Updated: Jul 31, 2025
A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
Published on: March 8, 2022
Computational systems biology approach for permanent tumor elimination and normal tissue protection using negative
Bindu Kumari1, Chandrashekhar Sakode2, Raghavendran Lakshminarayanan3
1School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India.
Abstract:
Complete spontaneous tumor regression (without treatment) is well documented to occur in animals and humans as epidemiological analysis show, whereby the malignancy is permanently eliminated. We have developed a novel computational systems biology model for this unique phenomenon to furnish insight into the possibility of therapeutically replicating such regression processes on tumors clinically, without toxic side effects. We have formulated oncological informatics approach using cell-kinetics coupled differential equations while protecting normal tissue. We investigated three main tumor-lysis components: (ⅰ) DNA blockade factors, (ⅱ) Interleukin-2 (IL-2), and (ⅲ) Cytotoxic T-cells (CD8+ T). We studied the temporal variations of these factors, utilizing preclinical experimental investigations on malignant tumors, using mammalian melanoma microarray and histiocytoma immunochemical assessment. We found that permanent tumor regression can occur by: 1) Negative-Bias shift in population trajectory of tumor cells, eradicating them under first-order asymptotic kinetics, and 2) Temporal alteration in the three antitumor components (DNA replication-blockade, Antitumor T-lymphocyte, IL-2), which are respectively characterized by the following patterns: (a) Unimodal Inverted-U function, (b) Bimodal M-function, (c) Stationary-step function. These provide a time-wise orchestrated tri-phasic cytotoxic profile. We have also elucidated gene-expression levels corresponding to the above three components: (ⅰ) DNA-damage G2/M checkpoint regulation [genes: CDC2-CHEK], (ⅱ) Chemokine signaling: IL-2/15 [genes: IL2RG-IKT3], (ⅲ) T-lymphocyte signaling (genes: TRGV5-CD28). All three components quantitatively followed the same activation profiles predicted by our computational model (Smirnov-Kolmogorov statistical test satisfied, α = 5%). We have shown that the genes CASP7-GZMB are signatures of Negative-bias dynamics, enabling eradication of the residual tumor. Using the negative-biasing principle, we have furnished the dose-time profile of equivalent therapeutic agents (DNA-alkylator, IL-2, T-cell input) so that melanoma tumor may therapeutically undergo permanent extinction by replicating the spontaneous tumor regression dynamics.
Insights
Spontaneous tumor regression can be replicated therapeutically. A computational model reveals that altering DNA blockade, Interleukin-2 (IL-2), and Cytotoxic T-cells (CD8+ T) can eliminate tumors without side effects.
Area of Science:
- Computational Systems Biology
- Oncological Informatics
- Immunology
Background:
- Spontaneous tumor regression, the complete elimination of malignancy without treatment, is a documented phenomenon in both animals and humans.
- Replicating this natural regression process offers a potential therapeutic strategy to eliminate tumors without the toxic side effects associated with conventional treatments.
- Understanding the underlying mechanisms of spontaneous regression is crucial for developing novel, less toxic cancer therapies.
Purpose of the Study:
- To develop a novel computational systems biology model to understand spontaneous tumor regression.
- To investigate the potential for therapeutically replicating tumor regression without adverse effects.
- To elucidate the roles of DNA blockade factors, Interleukin-2 (IL-2), and Cytotoxic T-cells (CD8+ T) in tumor elimination.
Main Methods:
- Formulated an oncological informatics approach using cell-kinetics coupled differential equations.
- Investigated temporal variations of DNA blockade factors, IL-2, and CD8+ T-cells.
- Utilized preclinical experimental data from mammalian melanoma and histiocytoma, including microarray and immunochemical assessments.
Main Results:
- Identified a 'Negative-Bias' shift in tumor cell population dynamics as key to eradication via first-order asymptotic kinetics.
- Characterized specific temporal alteration patterns (Unimodal Inverted-U, Bimodal M-function, Stationary-step function) for the three antitumor components.
- Validated computational model predictions against gene expression data for DNA-damage checkpoints (CDC2-CHEK), chemokine signaling (IL2RG-IKT3), and T-lymphocyte signaling (TRGV5-CD28) using the Smirnov-Kolmogorov test (α = 5%).
Conclusions:
- Permanent tumor regression can be achieved by inducing a Negative-Bias in tumor cell population dynamics.
- A time-orchestrated, tri-phasic cytotoxic profile involving DNA blockade, IL-2, and T-cells is essential for effective tumor elimination.
- The study provides a therapeutic dose-time profile for agents mimicking spontaneous regression, enabling potential permanent extinction of melanoma tumors.
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